This book highlights the latest research advances in the planning and management of electric distribution networks. It addresses various aspects of distribution network management including planning, operation, customer engagement, and technology accommodation. Given the importance of electric distribution networks in power delivery systems, effectively planning and managing them are vital to satisfying technical, economic, and customer requirements. A new planning and management philosophy, techniques, and methods are essential to handling uncertainties associated with the integration of renewable-based distributed generation, demand forecast, and customer needs. This book covers topics on managing the capacity of distribution networks, while also addressing the future needs of electric systems. The efficient and economical operation of distribution networks is an essential aspect of ensuring the effective use of resources. Accordingly, this book addresses operation and control approaches and techniques suitable for future distribution networks.

Autorentext
Farhad Shahnia received his B.Sc. and M.Sc. in Electrical Power Engineering with first class honor from University of Tabriz, Tabriz, Iran in 2004 and 2006, respectively and his Ph.D. in Electrical Engineering from Queensland University of Technology, Brisbane, Australia in 2011. He is currently a Senior Lecturer at Murdoch University since 2015. Prior to that, he was a lecturer at Curtin University, Perth, Australia in 2012-15, and a research fellow at Queensland University of Technology, Brisbane, Australia in 2011. His professional experience also includes three years at Eastern Azarbayjan Electric Power Distribution Company, Tabriz, Iran. He has published 4 books, 10 book chapters, and over 100 scholary journal and conference articles.

Ali Arefi received B.Sc., M.Sc., and Ph.D. in electrical engineering in 1999, 2001, and 2011, respectively. He is currently a Senior Lecturer at the School of Engineering and Information Technology, Murdoch University, Perth, Australia since 2016. Prior to that, he was a Lecturer and Research Fellow at Queensland University of Technology (QUT) from 2012 to 2015. He has also six years' experiences with electric distribution industry and has been the consultant for 5 industry-funded research projects. He is an IEEE Senior member and a member of several IEEE Working Groups and Committee and Task Force. His research interests are in the areas of electric delivery planning, state estimation, power quality, and energy efficiency.

Gerard Ledwich received a Ph.D. degree in electrical engineering from the University of Newcastle, Newcastle, Australia, in 1976. He has been Chair Professor in Electrical Power Engineering at Queensland University of Technology (QUT), Brisbane, Australia, since 1998, and was Head of the Electrical Engineering Department, University of Newcastle, Newcastle, Australia, from 1997 to 1998. Previously, he was with the University of Queensland, Brisbane, Australia, from 1976 to 1994. His research interests are in the areas of power system operation and control. He is a Fellow of the Institute of Engineers, Australia.

Inhalt

1. Introduction
2. Risk and uncertainty modeling, qualification, assessment, and treatment
3. Performance-constrained planning (including reliability, resiliency, power losses, etc)
4. Multi-stage planning methods
5. Mathematical and heuristic optimization techniques for planning
6. Planning in networks with high penetration of renewable sources
7. New topologies and configurations for future distribution networks
8. Planning of hybrid ac/dc distribution networks
9. Power quality and reactive power compensation considerations in planning
10. Optimal siting and sizing of compensators and renewable sources
11. Optimal operation and scheduling odd resources in distribution management
12. Integrated planning of distribution network assets and controlled devices (such as renewable sources, batteries, etc)
13. Role of microgrids and aggregators in planning
14. Microgrid-based planning of distribution networks
15. Conclusions